Association of Tumor-Localized TLS with Gene Expression Profile in Glioma Samples

Group 21

Introduction

Study: “Spatial immune profiling defines a subset of human gliomas with functional tertiary lymphoid structures”[1]

Background:

  • Adult-type diffuse gliomas: “cold” tumors

  • Tertiary Lymphoid structures (TLSs)

Objectives:

  • Visualizing transcriptional patterns

  • Identifying key genes

  • Confirming TLS functionality

Materials:

Dataset: GEO (NCBI) - GSE271059[2]

  • Metadata:

    • IDH_status

    • TLS_status

    • Localisation

    • Primary_or_Recurrent

    • Age

    • Gender

  • Raw data: gene expression count matrix (genes × samples)



Methods

[3] Ayers et al., 2017 – https://pubmed.ncbi.nlm.nih.gov/28650338/

Results

Impact of TLS status on transcriptional signatures

  • TLS status does not strongly separate the samples

  • TLS group contains highly distinct outliers

Results

Impact of IDH status on transcriptional signatures

  • Clear and distinct separation of samples by IDH status

  • Outlier subsets exist

Results

TLS effect on gene expression

  • Each point = one gene (TLS+ vs TLS−)
  • Several genes are significantly associated with TLS status (q < 0.05)
  • Some genes are higher in TLS+, others in controls

Results

GEP score by TLS status

  • Each point = one tumor sample
  • GEP score (18-gene immune signature)
  • Median GEP score is higher in TLS+ tumors than in controls

Results

  • Three genes were found to be TLS-significant

Discussion

  • PCA: TLS+ and control tumors largely overlap -> TLS is not the main driver of variation
  • PCA: clear separation by IDH status -> Strong impact of IDH mutations on expression
  • TLS+ gliomas show transcriptional differences compared with controls
  • TLS+ samples have higher immune GEP scores -> More active adaptive immune response
  • Overall, gliomas with TLS display a more active immune microenvironment